
Explore HTTPS ecosystem's private key sharing practices, risks, and implications for web security. Learn detection methods and analysis of key sharing among domains and hosting providers.

Explore the potential of big data in solving global crises with Palantir CEO Alex Karp. Discuss data-driven intelligence, software solutions, and ethical considerations in addressing complex world issues.

Explore secure development through a competitive contest format, analyzing builder strategies, common vulnerabilities, and resilience in software security.

Explore local differential privacy for heavy hitter estimation on set-valued data. Learn about randomized response, RAPPOR, and the LDPMiner framework for privacy-preserving data analysis.

Explores data reduction techniques for big data security dependency analyses, focusing on expendable dependencies, controlled loss, and domain knowledge to improve efficiency while maintaining accuracy.

Explore mistletoe's ecology, evolution, and unique parasitic lifestyle. Learn about its diversity, morphology, and adaptations, as well as its ecological importance and responses to environmental changes.

Explore LINC complex's role in nuclear positioning, calcium signaling, and ROS in Arabidopsis pollen tubes, with implications for plant reproduction and stress responses.

Explore cutting-edge plant phenotyping techniques for quantitative analysis of development and performance, featuring innovative technologies and global perspectives on digital agriculture.

Explore how interactive analytics and augmented reality leverage big data for competitive intelligence, addressing challenges like latency, privacy, and data retention in various industries.

Exploring how data science and technology can drive positive change in society, with insights from government, civic engagement, and private sector experts.

Explore Prometheus monitoring system's design philosophy, data model, and unique features. Learn about its label-based approach, binary arithmetic, and operational considerations.

Explore DARPA's Explainable AI program, its goals, strategies, and applications in machine learning, autonomy, and deep learning. Gain insights into the future of transparent AI systems.

Explores benefits of using real golf clubs for haptic feedback in VR training, showing improved performance and user preference over controllers in a putting task study.

Empirical study on optimal timing for vehicle-driver communication, analyzing responses and automotive data to improve safety and user satisfaction in smart driving assistants and infotainment systems.

Explores sensorization of fabrication activities to predict user actions, identity, and expertise. Presents modular system design and experimental results for future interactive making spaces.

Explores challenges in developing a Single Usability Metric at Microsoft, discussing error rates, time-on-task targets, and scale anchoring. Proposes alternative metric using simple thresholds from anchor text and inter-metric correlations.

Explore social media as a passive sensor for studying human behavior and wellbeing in longitudinal research, examining data collection methods, challenges, and implications for HCI studies.

Explores optimal sampling strategies for ultrasonic mid-air haptics, revealing unexpected effects of update rates on pattern perception and providing insights for improved tactile interface design.

Exploring socio-technical dynamics in crisis management, focusing on cooperation between emergent citizen groups and established organizations during the 2015 European migration crisis.

Explores delegating digital consent decisions to third parties, revealing public interest and context-dependent preferences for alternative decision mechanisms beyond individual control.

Explore smartphone touchscreen interaction patterns through in-the-wild studies, revealing optimal input areas and confirming previous lab-based models for improved user interface design.